Image Classifier App
Project Title : Image Classifier App
Objective:
To build an AI-powered application that can classify images into different categories (e.g., animals, objects, clothing) using deep learning techniques.
Technologies Used:
Programming Language: Python
Libraries/Frameworks: TensorFlow / Keras, OpenCV, NumPy, Matplotlib
Tools: Streamlit or Flask for building the app interface
Dataset: CIFAR-10, ImageNet, or custom dataset
Approach:
Data Collection & Preprocessing:
Use a labeled dataset with multiple image classes
Resize images, normalize pixel values, and split into training and testing sets
Model Building:
Build a Convolutional Neural Network (CNN) to extract features and classify images
Optionally apply Transfer Learning (e.g., MobileNet, VGG16) for better accuracy
Training & Evaluation:
Train the model on the dataset
Evaluate model using accuracy, loss graphs, and confusion matrix
App Development:
Create a simple interface using Streamlit or Flask
Allow users to upload an image and view the predicted class in real-time
Deployment (Optional):
Host the app on a local server or deploy it to a platform like Heroku or AWS
Outcome:
A smart and interactive AI application that can classify images into categories with high accuracy, showcasing the power of deep learning in visual recognition.
₹ 999 /-
Project includes:
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Customization
Fully
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Security
High
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Performance
Fast
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Future Updates
Free
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Total Buyers
500+
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Support
Lifetime
Secure Payment:
